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scDesign3

Bioc current

A unified framework of realistic in silico data generation and statistical model inference for single-cell and spatial omics

v1.10.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.18 · Oct 25, 2023

Current · Requires R 4.6

1.0 In 6 of 49 releases 3.23

Description

We present a statistical simulator, scDesign3, to generate realistic single-cell and spatial omics data, including various cell states, experimental designs, and feature modalities, by learning interpretable parameters from real data. Using a unified probabilistic model for single-cell and spatial omics data, scDesign3 infers biologically meaningful parameters; assesses the goodness-of-fit of inferred cell clusters, trajectories, and spatial locations; and generates in silico negative and positive controls for benchmarking computational tools.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

38 13 exported

Complexity

9.7 avg / 59 max

Call network

38 nodes / 31 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

5,653

Files

43

Compiled share

0%

Has compiled src

No

Language breakdown

R 4,321 (76.4%)Tests 189 (3.3%)Docs 1,004 (17.8%)Vignettes 139 (2.5%)

API

Exported functions

13

Internal functions

25

Recent export changes

v3.19+1 sparse_cov

Testing & CI

Has tests

Yes

Test-to-code ratio

0.04

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

6

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

6

First release

2024-01-12

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

Dep drift

3

LOC over versions

v3.18: 4,990 LOCv3.19: 5,355 LOCv3.20: 5,359 LOCv3.21: 5,588 LOCv3.22: 5,653 LOCv3.23: 5,653 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 1,819 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scDesign3")
Song, D., Jiang, C., & Wang, Q. (2026). scDesign3: A unified framework of realistic in silico data generation and statistical model inference for single-cell and spatial omics (Version 1.10.0) [Computer software]. https://bioconductor.org/packages/scDesign3

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scDesign3 version 1.10.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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